import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("internlm/internlm2-chat-7b", trust_remote_code=True, cache_dir='/home/{username}/huggingface') # Set `torch_dtype=torch.float16` to load model in float16, otherwise it will be...
将hugging face的权重下载到本地，然后我们之后称下载到本地的路径为llama_7b_localpath 【
为了加快下载速度,需要确保安装 pip install huggingface_hub[hf_transfer] 并设置环境变量 HF_HUB_ENABLE_HF_TRANSFER=1 使用datasets from datasets import load_datasetfw = load_dataset("HuggingFaceFW/fineweb", name="CC-MAIN-2024-10", split="train", streaming=True) FineWeb数据卡 数据实例 下例为CC-...
AAA/BBB是HugglingFace官网复制的模型的名字,比如说hfl/rbt3或者distilbert/distilbert-base-uncased-finetuned-sst-2-english之类的。 也可以使用--local-dir指定下载路径。 然后调用模型就是按照官网教的方式: # 使用Auto方法 from transformers import AutoModel, AutoTokenizer model = AutoModel.from_pretrained(...
fromdatasetsimportload_datasetfw = load_dataset("HuggingFaceFW/fineweb", name="CC-MAIN-2024-10", split="train", streaming=True) FineWeb数据卡 数据实例 下例为CC-MAIN-2021-43 的一部分,于2021-10-15T21:20:12Z进行爬取...
local_dir="./fineweb/", allow_patterns="data/CC-MAIN-2023-50/*") 为了加快下载速度,需要确保安装 pip install huggingface_hub[hf_transfer] 并设置环境变量 HF_HUB_ENABLE_HF_TRANSFER=1 使用datasets fromdatasetsimportload_dataset fw = load_dataset("HuggingFaceFW/fineweb", name="CC-MAIN-2024-10...
2.1LoadFromHF.ipynb import os os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com' from huggingface_hub import snapshot_download #需要登录的模型,还需要下面两行额外代码: #import huggingface_hub #huggingface_hub.login("HF_TOKEN") # token 从 https://huggingface.co/settings/tokens 获取 ...
feat: support for load weights from local dir 9931ffe Contributor Author CrazyBoyM commented Apr 24, 2023 test well on my env. here is my test code: from PIL import Image import requests from io import BytesIO from controlnet_aux import HEDdetector, MidasDetector, MLSDdetector, OpenposeDe...
from datasets import load_datasetfw = load_dataset ("HuggingFaceFW/fineweb", name="CC-MAIN-2024-10", split="train", streaming=True) 1. FineWeb 数据卡 数据实例 下例为 CC-MAIN-2021-43 的一部分,于 2021-10-15T21:20:12Z 进行爬取。
When i used the datasets==1.11.0, it's all right. Util update the latest version, it get the error like this: >>> from datasets import load_dataset >>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/d...